Activeloop
Activeloop builds Deep Lake, a database for AI that stores multimodal datasets (text, images, video, audio, embeddings) in a deep-learning-optimized format. The primary interface is the open-source Deep Lake Python SDK paired with the Tensor Query Language (TQL); datasets live locally, in your own cloud (S3, Azure, GCP), or in the managed Activeloop Cloud (app.activeloop.ai), which also exposes an alpha Managed Database REST query endpoint.
Activeloop publishes 1 API on the APIs.io network: Managed Database API. Tagged areas include AI, Vector Store, Data Lake, Multimodal, and Deep Learning.
Activeloop’s developer surface includes authentication, documentation, and 8 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Activeloop Managed Database API
The Managed Database API from Activeloop — 1 operation(s) for managed database.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Activeloop Deep Lake API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Activeloop Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Activeloop Finops
FINOPSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API